Audio verification

ABSTRACT

One or more techniques and/or systems are provided for audio verification. An audio signal, comprising a code for user verification, may be identified. A second audio signal is created comprising speech. The audio signal and the second audio signal may be altered to comprise a same or similar volume, pitch, amplitude, and/or speech rate. The audio signal and the second audio signal may be combined to generate a verification audio signal. The verification audio signal may be presented to a user for the user verification. Verification may be performed to determine whether the user has access to content or a service based upon user input, obtained in response to the user verification audio signal, matching the code within the user verification audio signal. In an example, the user verification may comprise verifying that the user is human.

CROSS REFERENCE TO RELATED APPLICATION

This application claims priority to and is a continuation of U.S.application Ser. No. 14/847,742, filed on Sep. 8, 2015, entitled “AUDIOVERIFICATION”, which is incorporated herein.

BACKGROUND

Captchas (Completely Automated Public Turing test to tell Computers andHumans Apart) may be utilized to restrict non-humans (e.g., computers,program account-creation bots (bots), etc.) from accessing contentand/or services. For example, a bot may rapidly create multiple accountswith a service provider for illegal/malicious activity. Audio captchasmay be utilized to prevent bots from rapidly generating accounts.However, many bots may have an audio recognition component that may“listen” to an audio captcha and identify a verification code. Thus, theservice provider may attempt to generate more complex captchas torestrict bots from accessing an account creation interface. However, amore complex captcha may be less usable for a user of the serviceprovider. Unfortunately, the user of the service provider may becomefrustrated with the complex captcha. Thus, users may become dissatisfiedwith the service provider and/or forgo creating an account with theservice provider.

SUMMARY

In accordance with the present disclosure, one or more systems and/ormethods for audio verification are provided. In an example, an audiosignal (e.g., a whisper) comprising a code for user verification may beidentified. A second audio signal may be created utilizing a first audiosegment and/or a second audio segment. In an example, the first audiosegment and/or the second audio segment may be extracted in real-timefrom an on-going audio stream, extracted from an audio content database,and/or generated utilizing a speech generator (e.g., a random speechgenerator). One or more portions may be extracted (e.g., randomlyextracted) from the first audio segment and/or the second audio segment,and may be stitched together to create the second audio signal. In anexample, the one or more portions may be layered (e.g., randomlylayered) over each other to create a layered segment and a secondlayered segment. The layered segment and the second layered segment maybe stitched together to create the second audio signal. In anotherexample, the one or more portions may be stitched together to create aninitial second audio signal. The initial second audio signal may bereversed to create the second audio signal.

A pitch, a volume, a speaking rate, and/or an amplitude of the audiosignal may be identified. A second pitch, a second volume, a secondspeaking rate, and/or a second amplitude of the second audio signal maybe identified. The pitch and/or the second pitch may be altered untilthe pitch and the second pitch are within a threshold pitch similarity.The volume and/or the second volume may be altered until the volume andthe second volume are within a threshold volume similarity. The speakingrate and/or the second speaking rate may be altered until the speakingrate and the second speaking rate are within a threshold speaking ratesimilarity. The amplitude and/or the second amplitude may be altereduntil the amplitude and the second amplitude are within a thresholdamplitude similarity.

The audio signal and the second audio signal may be combined to generatea verification audio signal comprising the code. Verification may beperformed to determine whether the user has access to content or aservice based upon user input, obtained in response to the userverification audio signal, matching the code within the userverification audio signal. In an example, the user may be presented withan option to enter the user input audibly. Responsive to the userentering the user input audibly, acoustic features that are indicativeof a human voice may be identified. Responsive to the acoustic featuresindicating the user input, corresponding to the code, was spoken by thehuman voice, the user may be verified as having access to the content orthe service. Responsive to the acoustic features indicating the userinput was not spoken by the human voice, the user may be denied accessto the content or the service.

DESCRIPTION OF THE DRAWINGS

While the techniques presented herein may be embodied in alternativeforms, the particular embodiments illustrated in the drawings are only afew examples that are supplemental of the description provided herein.These embodiments are not to be interpreted in a limiting manner, suchas limiting the claims appended hereto.

FIG. 1 is an illustration of a scenario involving various examples ofnetworks that may connect servers and clients.

FIG. 2 is an illustration of a scenario involving an exampleconfiguration of a server that may utilize and/or implement at least aportion of the techniques presented herein.

FIG. 3 is an illustration of a scenario involving an exampleconfiguration of a client that may utilize and/or implement at least aportion of the techniques presented herein.

FIG. 4 is a component block diagram illustrating an example system foraudio verification, where a pitch and/or a second pitch are altered.

FIG. 5 is a component block diagram illustrating an example system foraudio verification, where an amplitude and/or a second amplitude arealtered.

FIG. 6 is a component block diagram illustrating an example system foraudio verification, where a speaking rate and/or a second speaking rateare altered.

FIG. 7 is a component block diagram illustrating an example system foraudio verification, where a volume and/or a second volume are altered.

FIG. 8 is a component block diagram illustrating an example system foraudio verification, where a user is presented with an option to listento a verification audio signal.

FIG. 9 is a component block diagram illustrating an example system foraudio verification, where a second audio signal is created.

FIG. 10 is a flow chart illustrating an example method of audioverification.

FIG. 11 is an illustration of a scenario featuring an examplenontransitory memory device in accordance with one or more of theprovisions set forth herein.

DETAILED DESCRIPTION

Subject matter will now be described more fully hereinafter withreference to the accompanying drawings, which form a part hereof, andwhich show, by way of illustration, specific example embodiments. Thisdescription is not intended as an extensive or detailed discussion ofknown concepts. Details that are known generally to those of ordinaryskill in the relevant art may have been omitted, or may be handled insummary fashion.

The following subject matter may be embodied in a variety of differentforms, such as methods, devices, components, and/or systems.Accordingly, this subject matter is not intended to be construed aslimited to any example embodiments set forth herein. Rather, exampleembodiments are provided merely to be illustrative. Such embodimentsmay, for example, take the form of hardware, software, firmware or anycombination thereof.

1. Computing Scenario

The following provides a discussion of some types of computing scenariosin which the disclosed subject matter may be utilized and/orimplemented.

1.1. Networking

FIG. 1 is an interaction diagram of a scenario 100 illustrating aservice 102 provided by a set of servers 104 to a set of client devices110 via various types of networks. The servers 104 and/or client devices110 may be capable of transmitting, receiving, processing, and/orstoring many types of signals, such as in memory as physical memorystates.

The servers 104 of the service 102 may be internally connected via alocal area network 106 (LAN), such as a wired network where networkadapters on the respective servers 104 are interconnected via cables(e.g., coaxial and/or fiber optic cabling), and may be connected invarious topologies (e.g., buses, token rings, meshes, and/or trees). Theservers 104 may be interconnected directly, or through one or more othernetworking devices, such as routers, switches, and/or repeaters. Theservers 104 may utilize a variety of physical networking protocols(e.g., Ethernet and/or Fibre Channel) and/or logical networkingprotocols (e.g., variants of an Internet Protocol (IP), a TransmissionControl Protocol (TCP), and/or a User Datagram Protocol (UDP). The localarea network 106 may include, e.g., analog telephone lines, such as atwisted wire pair, a coaxial cable, full or fractional digital linesincluding T1, T2, T3, or T4 type lines, Integrated Services DigitalNetworks (ISDNs), Digital Subscriber Lines (DSLs), wireless linksincluding satellite links, or other communication links or channels,such as may be known to those skilled in the art. The local area network106 may be organized according to one or more network architectures,such as server/client, peer-to-peer, and/or mesh architectures, and/or avariety of roles, such as administrative servers, authenticationservers, security monitor servers, data stores for objects such as filesand databases, business logic servers, time synchronization servers,and/or front-end servers providing a user-facing interface for theservice 102.

Likewise, the local area network 106 may comprise one or moresub-networks, such as may employ differing architectures, may becompliant or compatible with differing protocols and/or may interoperatewithin the local area network 106. Additionally, a variety of local areanetworks 106 may be interconnected; e.g., a router may provide a linkbetween otherwise separate and independent local area networks 106.

In the scenario 100 of FIG. 1, the local area network 106 of the service102 is connected to a wide area network 108 (WAN) that allows theservice 102 to exchange data with other services 102 and/or clientdevices 110. The wide area network 108 may encompass variouscombinations of devices with varying levels of distribution andexposure, such as a public wide-area network (e.g., the Internet) and/ora private network (e.g., a virtual private network (VPN) of adistributed enterprise).

In the scenario 100 of FIG. 1, the service 102 may be accessed via thewide area network 108 by a user 112 of one or more client devices 110,such as a portable media player (e.g., an electronic text reader, anaudio device, or a portable gaming, exercise, or navigation device); aportable communication device (e.g., a camera, a phone, a wearable or atext chatting device); a workstation; and/or a laptop form factorcomputer. The respective client devices 110 may communicate with theservice 102 via various connections to the wide area network 108. As afirst such example, one or more client devices 110 may comprise acellular communicator and may communicate with the service 102 byconnecting to the wide area network 108 via a wireless local areanetwork 106 provided by a cellular provider. As a second such example,one or more client devices 110 may communicate with the service 102 byconnecting to the wide area network 108 via a wireless local areanetwork 106 provided by a location such as the user's home or workplace(e.g., a WiFi network or a Bluetooth personal area network). In thismanner, the servers 104 and the client devices 110 may communicate overvarious types of networks. Other types of networks that may be accessedby the servers 104 and/or client devices 110 include mass storage, suchas network attached storage (NAS), a storage area network (SAN), orother forms of computer or machine readable media.

1.2. Server Configuration

FIG. 2 presents a schematic architecture diagram 200 of a server 104that may utilize at least a portion of the techniques provided herein.Such a server 104 may vary widely in configuration or capabilities,alone or in conjunction with other servers, in order to provide aservice such as the service 102.

The server 104 may comprise one or more processors 210 that processinstructions. The one or more processors 210 may optionally include aplurality of cores; one or more coprocessors, such as a mathematicscoprocessor or an integrated graphical processing unit (GPU); and/or oneor more layers of local cache memory. The server 104 may comprise memory202 storing various forms of applications, such as an operating system204; one or more server applications 206, such as a hypertext transportprotocol (HTTP) server, a file transfer protocol (FTP) server, or asimple mail transport protocol (SMTP) server; and/or various forms ofdata, such as a database 208 or a file system. The server 104 maycomprise a variety of peripheral components, such as a wired and/orwireless network adapter 214 connectible to a local area network and/orwide area network; one or more storage components 216, such as a harddisk drive, a solid-state storage device (SSD), a flash memory device,and/or a magnetic and/or optical disk reader.

The server 104 may comprise a mainboard featuring one or morecommunication buses 212 that interconnect the processor 210, the memory202, and various peripherals, using a variety of bus technologies, suchas a variant of a serial or parallel AT Attachment (ATA) bus protocol; aUniform Serial Bus (USB) protocol; and/or Small Computer SystemInterface (SCI) bus protocol. In a multibus scenario, a communicationbus 212 may interconnect the server 104 with at least one other server.Other components that may optionally be included with the server 104(though not shown in the schematic diagram 200 of FIG. 2) include adisplay; a display adapter, such as a graphical processing unit (GPU);input peripherals, such as a keyboard and/or mouse; and a flash memorydevice that may store a basic input/output system (BIOS) routine thatfacilitates booting the server 104 to a state of readiness.

The server 104 may operate in various physical enclosures, such as adesktop or tower, and/or may be integrated with a display as an“all-in-one” device. The server 104 may be mounted horizontally and/orin a cabinet or rack, and/or may simply comprise an interconnected setof components. The server 104 may comprise a dedicated and/or sharedpower supply 218 that supplies and/or regulates power for the othercomponents. The server 104 may provide power to and/or receive powerfrom another server and/or other devices. The server 104 may comprise ashared and/or dedicated climate control unit 220 that regulates climateproperties, such as temperature, humidity, and/or airflow. Many suchservers 104 may be configured and/or adapted to utilize at least aportion of the techniques presented herein.

1.3. Client Device Configuration

FIG. 3 presents a schematic architecture diagram 300 of a client device110 whereupon at least a portion of the techniques presented herein maybe implemented. Such a client device 110 may vary widely inconfiguration or capabilities, in order to provide a variety offunctionality to a user such as the user 112. The client device 110 maybe provided in a variety of form factors, such as a desktop or towerworkstation; an “all-in-one” device integrated with a display 308; alaptop, tablet, convertible tablet, or palmtop device; a wearable devicemountable in a headset, eyeglass, earpiece, and/or wristwatch, and/orintegrated with an article of clothing; and/or a component of a piece offurniture, such as a tabletop, and/or of another device, such as avehicle or residence. The client device 110 may serve the user in avariety of roles, such as a workstation, kiosk, media player, gamingdevice, and/or appliance.

The client device 110 may comprise one or more processors 310 thatprocess instructions. The one or more processors 310 may optionallyinclude a plurality of cores; one or more coprocessors, such as amathematics coprocessor or an integrated graphical processing unit(GPU); and/or one or more layers of local cache memory. The clientdevice 110 may comprise memory 301 storing various forms ofapplications, such as an operating system 303; one or more userapplications 302, such as document applications, media applications,file and/or data access applications, communication applications such asweb browsers and/or email clients, utilities, and/or games; and/ordrivers for various peripherals. The client device 110 may comprise avariety of peripheral components, such as a wired and/or wirelessnetwork adapter 306 connectible to a local area network and/or wide areanetwork; one or more output components, such as a display 308 coupledwith a display adapter (optionally including a graphical processing unit(GPU)), a sound adapter coupled with a speaker, and/or a printer; inputdevices for receiving input from the user, such as a keyboard 311, amouse, a microphone, a camera, and/or a touch-sensitive component of thedisplay 308; and/or environmental sensors, such as a global positioningsystem (GPS) receiver 319 that detects the location, velocity, and/oracceleration of the client device 110, a compass, accelerometer, and/orgyroscope that detects a physical orientation of the client device 110.Other components that may optionally be included with the client device110 (though not shown in the schematic diagram 300 of FIG. 3) includeone or more storage components, such as a hard disk drive, a solid-statestorage device (SSD), a flash memory device, and/or a magnetic and/oroptical disk reader; and/or a flash memory device that may store a basicinput/output system (BIOS) routine that facilitates booting the clientdevice 110 to a state of readiness; and a climate control unit thatregulates climate properties, such as temperature, humidity, andairflow.

The client device 110 may comprise a mainboard featuring one or morecommunication buses 312 that interconnect the processor 310, the memory301, and various peripherals, using a variety of bus technologies, suchas a variant of a serial or parallel AT Attachment (ATA) bus protocol;the Uniform Serial Bus (USB) protocol; and/or the Small Computer SystemInterface (SCI) bus protocol. The client device 110 may comprise adedicated and/or shared power supply 318 that supplies and/or regulatespower for other components, and/or a battery 304 that stores power foruse while the client device 110 is not connected to a power source viathe power supply 318. The client device 110 may provide power to and/orreceive power from other client devices.

In some scenarios, as a user 112 interacts with a software applicationon a client device 110 (e.g., an instant messenger and/or electronicmail application), descriptive content in the form of signals or storedphysical states within memory (e.g., an email address, instant messengeridentifier, phone number, postal address, message content, date, and/ortime) may be identified. Descriptive content may be stored, typicallyalong with contextual content. For example, the source of a phone number(e.g., a communication received from another user via an instantmessenger application) may be stored as contextual content associatedwith the phone number. Contextual content, therefore, may identifycircumstances surrounding receipt of a phone number (e.g., the date ortime that the phone number was received), and may be associated withdescriptive content. Contextual content, may, for example, be used tosubsequently search for associated descriptive content. For example, asearch for phone numbers received from specific individuals, receivedvia an instant messenger application or at a given date or time, may beinitiated. The client device 110 may include one or more servers thatmay locally serve the client device 110 and/or other client devices ofthe user 112 and/or other individuals. For example, a locally installedwebserver may provide web content in response to locally submitted webrequests. Many such client devices 110 may be configured and/or adaptedto utilize at least a portion of the techniques presented herein.

2. Presented Techniques

One or more systems and/or techniques for audio verification areprovided. A content provider and/or service provider (e.g., a webmailprovider, a social media provider, a videogame provider, etc.) maydesire to prevent bots (e.g., computers, program account-creation bots,etc.) from creating accounts. For example, a bot may rapidly createmultiple webmail accounts to use in a phishing scheme. Audio captchasmay be utilized to prevent bots from generating webmail accounts.However, many bots may have an audio recognition component that may beable to “listen” to an audio captcha and identify a verification code.

As provided herein, two combined audio signals, such as an audio signalcomprising a verification code for user verification and a second audiosignal comprising speech (e.g., a conversation, a news report, etc.),may be utilized to restrict a bot from identifying the verificationcode, while a user may easily identify the verification code (e.g.,based upon a Cocktail Party effect). The audio signal and the secondaudio signal may be altered to comprise a pitch, volume, amplitude,and/or speech rate within a threshold similarity. In this way, an audiocaptcha is generated using the audio signal and the second audio signalhaving similar audio features (e.g., pitch, amplitude, speech rate,volume, etc.), such that a bot may be unable to identify theverification code within the audio signal. Otherwise, if the audiocaptcha is generated where the audio signal, comprising the verificationcode, and the second audio signal have distinct pitches corresponding totwo different frequencies, then the bot could merely subtract afrequency of the second audio signal in order to identify theverification code in the audio signal. While the bot may be unable toidentify the verification code, the user may easily identify theverification code, similar to how the user may be able to carry on aconversation with another person in a room full of people havingconversations.

FIG. 4 illustrates an example system 400 for audio verificationutilizing an audio generation component 418. An audio signal 402 and asecond audio signal 410 may be identified. The audio signal 402 maycomprise a code for user verification (e.g., alpha and/or numeric). Thesecond audio signal 410 may comprise speech (e.g., a conversationbetween one or more persons, a news report, a song, etc.). The audiosignal 402 may comprise a sound wave (e.g., a signal propagated overtime) depicted by a line 408. The audio generation component 418 mayidentify an amplitude 404 and a frequency 409 of the sound wave. Theaudio generation component 418 may identify a pitch 406 proportional tothe frequency 409 of the audio signal 402. The second audio signal 410may comprise a second sound wave depicted by a second line 416. Theaudio generation component 418 may identify a second amplitude 412 and asecond frequency 415 of the second sound wave. The audio generationcomponent 418 may identify a second pitch 414 proportional to the secondfrequency 415 of the second audio signal 410.

The audio generation component 418 may alter the pitch 406 and/or thesecond pitch 414 until the pitch 406 and the second pitch 414 are withina threshold pitch similarity. In an example, the pitch 406, of the audiosignal 402, may be altered to an altered pitch 422 within a pitchsimilarity threshold 426 of the second pitch 414 of the second audiosignal 410 (e.g., a frequency difference of less than 100 Hz or someother difference), resulting in an altered audio signal 420 having acorresponding frequency 424. In another example, the second pitch 414,of the second audio signal 410, may be altered to an altered secondpitch 430 within the pitch similarity threshold 426 of the pitch 406 ofthe audio signal 402, resulting in an altered second audio signal 428having a corresponding frequency 432. It may be appreciated that varioustechniques, such as altering the audio signal 402, the second audiosignal 410, or both audio signals (e.g., based upon a mean or averagefrequency or pitch) may be performed.

FIG. 5 illustrates an example system 500 for audio verificationutilizing an audio generation component 518. An audio signal 502 and asecond audio signal 510 may be identified. The audio signal 502 maycomprise a code for user verification (e.g., 1234). The audio signal 502may comprise a sound wave depicted by a line 508. The audio generationcomponent 518 may identify an amplitude 504 and a frequency 509 of thesound wave. The second audio signal 510 may comprise speech (e.g.,computer generated speech). The second audio signal 510 may comprise asecond sound wave depicted by a line 516. The audio generation component518 may identify a second amplitude 512 and a second frequency 515 ofthe second sound wave.

The audio generation component 518 may alter the amplitude 504 and/orthe second amplitude 512 until the amplitude 504 and the secondamplitude 512 are within a threshold amplitude similarity 526. In anexample, the amplitude 504, of the audio signal 502, may be altered toan altered amplitude 522 within an amplitude similarity threshold 526 ofthe second amplitude 512 of the second audio signal 510 (e.g., anamplitude difference of less than 0.2 N/m² or some other amplitudedifference), resulting in an altered audio signal 520. In anotherexample, the second amplitude 512, of the second audio signal 510, maybe altered to an altered second amplitude 530 within the amplitudesimilarity threshold 526 of the amplitude 504 of the audio signal 502,resulting in an altered second audio signal 528. It may be appreciatedthat various techniques, such as altering the audio signal 502, thesecond audio signal 510, or both audio signals (e.g., based upon a meanor average amplitude) may be performed

FIG. 6 illustrates an example system 600 for audio verificationutilizing an audio generation component 618 to alter a speaking rate 606of an audio signal 602 and/or a second speaking rate 616 of a secondaudio signal 610. The audio signal 602 may comprise a code for userverification. The second audio signal 510 may comprise speech. The audiogeneration component 618 may identify the speaking rate 606 of the audiosignal 602 and the second speaking rate 616 of the second audio signal610.

The audio generation component 618 may alter the speaking rate 606and/or the second speaking rate 616 until the speaking rate 606 and thesecond speaking rate 616 are within a speaking rate similarity threshold626. In an example, the audio signal 602 may have the speaking rate 606of 0.3 words per second and the second audio signal 610 may have thesecond speaking rate 616 of 1.1 words per second. In an example, thesecond speaking rate 616 may be increased to about 1.1 words per secondand the speaking rate 606 may remain unchanged. In another example, thespeaking rate 606 may be decreased to about 0.3 words per second and thesecond speaking rate 616 may remain unchanged. In another example, amean or average speaking rate between the speaking rate 606 and thesecond speaking rate 616 may be determined. The speaking rate 606 andthe second speaking rate 616 may be altered to comprise the mean oraverage speaking rate. The audio generation component 618 may output theaudio signal 602, having the speaking rate 606 or the altered speakingrate 622, and the second audio signal 610, having the second speakingrate 616 or the altered second speaking rate 630. The speaking ratesimilarity threshold 626 may comprise a speaking rate difference of 0.1words per second or some other difference.

FIG. 7 illustrates an example system 700 for audio verificationutilizing an audio generation component 718 to alter a volume 706 of anaudio signal 702 and/or a second volume 716 of a second audio signal710. The audio signal 702 may comprise a code for user verification. Thesecond audio signal 710 may comprise speech. The audio generationcomponent 718 may identify the volume 706 of the audio signal 702 andthe second volume 716 of the second audio signal 710.

The audio generation component 718 may alter the volume 706 and/or thesecond volume 716 until the volume 706 and the second volume 716 arewithin a threshold volume similarity 726. In an example, the volume 706may be altered to equal the second volume 716, or the second volume 716may be altered to equal the volume 706. In another example, a mean oraverage volume between the volume 706 and the second volume 716 may bedetermined. The volume 706 and the second volume 716 may be altered tocomprise the mean or average volume. The audio generation component 718may output the audio signal 702, having the volume 706 or the alteredvolume 722, and the second audio signal 728 having the second volume 716or the second altered volume 730. The threshold volume similarity 726may comprise a volume difference less than 2 decibels or some othervolume difference.

In an example, the volume 706, a pitch, an amplitude, and/or a speechrate of the audio signal 702 and the second volume 716, a second pitch,a second amplitude, and/or a second speech rate of the second audiosignal 710 may be altered until the audio signal 702 and the secondaudio signal 710 comprise a volume, pitch, amplitude, and/or speech ratewithin a similarity threshold.

FIG. 8 illustrates an example system 800 for audio verificationcomprising an audio generation component 818. An audio signal 820,comprising a code (e.g., a verification code such as ABCD or 1234) and asecond audio signal 828 comprising one or more audio segments (e.g. afirst audio segment and/or a second audio segment) may be combined togenerate a verification audio signal 802. The second audio signal 828may be created such that the second audio signal 828 has a same orsimilar length as the audio signal 820. The audio signal 820 and thesecond audio signal 828 may comprise a volume, pitch, amplitude, and/orspeech rate within a similarity threshold. An option 806 to listen tothe verification audio signal 802 may be presented to a user on a clientdevice 804. In an example, the user may enter the code from theverification audio signal 802 into a text box (e.g., by typing 1234). Inanother example, the user may enter the code audibly and generate userinput such as a user verification signal (e.g., by saying 1234).Responsive to the user entering the user input audibly, acousticfeatures of the user input that are indicative of a human voice may beidentified. Responsive to the acoustic features indicating that theverification code was spoken by the human voice, the user may beverified to access content or a service. Responsive to the acousticfeatures indicating that the authentication code was not spoken by thehuman voice, the user may be denied access to the content or theservice.

FIG. 9 illustrates an example system 900 for audio verificationcomprising an audio generation component 918 creating a second audiosignal 910. The second audio signal 910 may be created utilizing a firstaudio segment 902, a second audio segment 904, and/or a third audiosegment 906. The first audio segment 902, the second audio segment 90,4and/or the third audio segment 906 may be extracted in real-time from anon-going audio stream (e.g., from a news show, a talk radio show, amorning talk show, etc.) from an audio content database (e.g.,comprising one or more audio segments), and/or utilizing a random speechgenerator. In an example, the random speech generator may generate asentence having syntax of a language (e.g., English). For example, thesentence may comprise an article, a verb and nouns (e.g., the, ran, dog,and home). However, the sentence may not make logical sense. Forexample, the sentence may be “the house ran dog.” The random speechgenerator may provide an infinite number of sentences that may prevent abot from learning often repeated audio signals.

The audio generation component 918 may extract 911 (e.g., randomly) oneor more portions from the first audio segment 902, the second audiosegment 904, and/or the third audio segment 906. The one or moreportions may comprise a first audio segment first portion 908, a firstaudio segment second portion, and/or a first audio segment third portionextracted from the first audio segment 902. The one or more portions maycomprise a second audio segment first portion, a second audio segmentsecond portion 914, and/or a second audio segment third portionextracted from the second audio segment 904. The one or more portionsmay comprise a third audio segment first portion 912 and/or a thirdaudio segment second portion extracted from the third audio segment 906.The one or more portions may be randomized 916 (e.g., to generaterandomized portions) and combined 920 (e.g., stitched together) togenerate the second audio signal 910. For example, the one or moreportions may be randomized 916 so that the second audio signal 910comprises the first audio segment first portion 908, the third audiosegment first portion 912, and the second audio segment second portion914 and combined 920.

In an example, the one or more portions (e.g., the randomized portions)may be layered (e.g., randomly) over each other to create a layeredsegment and/or a second layered segment. In an example, the third audiosegment first portion 912 may be layered over the second audio segmentthird portion 4 times to comprise the layered segment, and the secondaudio segment second portion 914 may be layered over the second audiosegment first portion to generate the second layered segment. Thelayered segment and/or the second layered segment may be stitchedtogether to create the second audio signal 910. In an example, the oneor more portions may be stitched together to create an initial secondaudio signal. The initial second audio signal may be reversed to createthe second audio signal 910.

An embodiment of content selection is illustrated by an example method1000 of FIG. 10. At 1002, the method 1000 starts. At 1004, an audiosignal comprising a code may be identified. At 1006, a second audiosignal comprising speech may be created. At 1008, a speaking rate and anamplitude of the audio signal may be identified. At 1010, a secondspeaking rate and a second amplitude of the second audio signal may beidentified. At 1012, the speaking rate and/or the second speaking ratemay be altered until the speaking rate and the second speaking rate arewithin a threshold speaking rate similarity. At 1014, the amplitudeand/or the second amplitude may be altered until the amplitude and thesecond amplitude are within a threshold amplitude similarity. At 1016,the audio signal and the second audio signal may be combined to generatea verification audio signal. At 1018, the verification audio signal maybe presented to a user for user verification. At 1020, verification maybe performed to determine whether the user has access to content or aservice based upon user input, obtained in response to the userverification audio signal, matching the code within the userverification audio signal. At 1022, the method 1000 ends.

FIG. 11 is an illustration of a scenario 1100 involving an examplenontransitory memory device 1102. The nontransitory memory device 1102may comprise instructions that when executed perform at least some ofthe provisions herein. The nontransitory memory device may comprise amemory semiconductor (e.g., a semiconductor utilizing static randomaccess memory (SRAM), dynamic random access memory (DRAM), and/orsynchronous dynamic random access memory (SDRAM) technologies), aplatter of a hard disk drive, a flash memory device, or a magnetic oroptical disc (such as a CD, DVD, or floppy disk). The examplenontransitory memory device 1102 stores computer-readable data 1104that, when subjected to reading 1106 by a reader 1110 of a device 1108(e.g., a read head of a hard disk drive, or a read operation invoked ona solid-state storage device), express processor-executable instructions1112. In some embodiments, the processor-executable instructions, whenexecuted on a processor 1116 of the device 1108, are configured toperform a method, such as at least some of the example 1000 of FIG. 10,for example. In some embodiments, the processor-executable instructions,when executed on the processor 1116 of the device 1108, are configuredto implement a system, such as at least some of the example system 400of FIG. 4, at least some of the example system 500 of FIG. 5, at leastsome of the example system 600 of FIG. 6, at least some of the examplesystem 700 of FIG. 7, at least some of the example system 800 of FIG. 8,and/or at least some of the example system 900 of FIG. 9, for example.

3. Usage of Terms

As used in this application, “component,” “module,” “system”,“interface”, and/or the like are generally intended to refer to acomputer-related entity, either hardware, a combination of hardware andsoftware, software, or software in execution. For example, a componentmay be, but is not limited to being, a process running on a processor, aprocessor, an object, an executable, a thread of execution, a program,and/or a computer. By way of illustration, both an application runningon a controller and the controller can be a component. One or morecomponents may reside within a process and/or thread of execution and acomponent may be localized on one computer and/or distributed betweentwo or more computers.

Unless specified otherwise, “first,” “second,” and/or the like are notintended to imply a temporal aspect, a spatial aspect, an ordering, etc.Rather, such terms are merely used as identifiers, names, etc. forfeatures, elements, items, etc. For example, a first object and a secondobject generally correspond to object A and object B or two different ortwo identical objects or the same object.

Moreover, “example” is used herein to mean serving as an example,instance, illustration, etc., and not necessarily as advantageous. Asused herein, “or” is intended to mean an inclusive “or” rather than anexclusive “or”. In addition, “a” and “an” as used in this applicationare generally be construed to mean “one or more” unless specifiedotherwise or clear from context to be directed to a singular form. Also,at least one of A and B and/or the like generally means A or B or both Aand B. Furthermore, to the extent that “includes”, “having”, “has”,“with”, and/or variants thereof are used in either the detaileddescription or the claims, such terms are intended to be inclusive in amanner similar to the term “comprising”.

Although the subject matter has been described in language specific tostructural features and/or methodological acts, it is to be understoodthat the subject matter defined in the appended claims is notnecessarily limited to the specific features or acts described above.Rather, the specific features and acts described above are disclosed asexample forms of implementing at least some of the claims.

Furthermore, the claimed subject matter may be implemented as a method,apparatus, or article of manufacture using standard programming and/orengineering techniques to produce software, firmware, hardware, or anycombination thereof to control a computer to implement the disclosedsubject matter. The term “article of manufacture” as used herein isintended to encompass a computer program accessible from anycomputer-readable device, carrier, or media. Of course, manymodifications may be made to this configuration without departing fromthe scope or spirit of the claimed subject matter.

Various operations of embodiments are provided herein. In an embodiment,one or more of the operations described may constitute computer readableinstructions stored on one or more computer readable media, which ifexecuted by a computing device, will cause the computing device toperform the operations described. The order in which some or all of theoperations are described should not be construed as to imply that theseoperations are necessarily order dependent. Alternative ordering will beappreciated by one skilled in the art having the benefit of thisdescription. Further, it will be understood that not all operations arenecessarily present in each embodiment provided herein. Also, it will beunderstood that not all operations are necessary in some embodiments.

Also, although the disclosure has been shown and described with respectto one or more implementations, equivalent alterations and modificationswill occur to others skilled in the art based upon a reading andunderstanding of this specification and the annexed drawings. Thedisclosure includes all such modifications and alterations and islimited only by the scope of the following claims. In particular regardto the various functions performed by the above described components(e.g., elements, resources, etc.), the terms used to describe suchcomponents are intended to correspond, unless otherwise indicated, toany component which performs the specified function of the describedcomponent (e.g., that is functionally equivalent), even though notstructurally equivalent to the disclosed structure. In addition, while aparticular feature of the disclosure may have been disclosed withrespect to only one of several implementations, such feature may becombined with one or more other features of the other implementations asmay be desired and advantageous for any given or particular application.

What is claimed is:
 1. A system of audio verification comprising: aprocessor; and memory comprising processor-executable instructions thatwhen executed by the processor cause implementation of an audiogeneration component configured to: identify an audio signal comprisinga code for user verification; create a second audio signal based uponone or more audio segments; identify a pitch and a volume of the audiosignal at a first time; identify a second pitch and a second volume ofthe second audio signal at a second time; determine an average pitchbetween the pitch of the audio signal and the second pitch of the secondaudio signal; determine an average volume between the volume of theaudio signal and the second volume of the second audio signal; alter thepitch of the audio signal and the second pitch of the second audiosignal to be the average pitch at a third time; alter the volume of theaudio signal and the second volume of the second audio signal to be theaverage volume at a fourth time; combine the audio signal and the secondaudio signal to generate a verification audio signal in response to:determining that the pitch of the audio signal at the third time and thesecond pitch of the second audio signal at the third time are both theaverage pitch so that a bot is unable to discern a difference betweenthe pitch of the audio signal and the second pitch of the second audiosignal when the audio signal and the second audio signal are combined;and determining that the volume of the audio signal at the fourth timeand the second volume of the second audio signal at the fourth time areboth the average volume so that a bot is unable to discern a differencebetween the volume of the audio signal and the second volume of thesecond audio signal when the audio signal and the second audio signalare combined; present the verification audio signal to a user for theuser verification, the user verification comprising verifying that theuser is human; and verify whether the user has access to content or aservice based upon user input, obtained in response to the verificationaudio signal, matching the code within the verification audio signal. 2.The system of claim 1, the audio generation component configured to:identify a speaking rate of the audio signal; and identify a secondspeaking rate of the second audio signal.
 3. The system of claim 2, theaudio generation component configured to: alter at least one of thespeaking rate of the audio signal or the second speaking rate of thesecond audio signal until the speaking rate and the second speaking rateare within a threshold speaking rate similarity.
 4. The system of claim1, the audio generation component configured to: identify an amplitudeof the audio signal; and identify a second amplitude of the second audiosignal.
 5. The system of claim 4, the audio generation componentconfigured to: alter at least one of the amplitude of the audio signalor the second amplitude of the second audio signal until the amplitudeand the second amplitude are within a threshold amplitude similarity. 6.The system of claim 1, the audio generation component configured to:create the second audio signal utilizing a first audio segment and asecond audio segment.
 7. The system of claim 6, the audio generationcomponent configured to at least one of: extract at least one of thefirst audio segment or the second audio segment from an audio contentdatabase; or generate at least one of the first audio segment or thesecond audio segment utilizing a random speech generator.
 8. The systemof claim 6, the audio generation component configured to: randomlyextract one or more portions from at least one of the first audiosegment or the second audio segment; and randomly stitch the one or moreportions together to create the second audio signal.
 9. The system ofclaim 6, the audio generation component configured to: randomly extractone or more portions from at least one of the first audio segment or thesecond audio segment; randomly layer the one or more portions over eachother to create a layered segment and a second layered segment; andstitch the layered segment and the second layered segment together tocreate the second audio signal.
 10. The system of claim 6, the audiogeneration component configured to: randomly extract one or moreportions from at least one of the first audio segment or the secondaudio segment; randomly stitch the one or more portions together tocreate an initial second audio signal; and reverse the initial secondaudio signal to create the second audio signal.
 11. The system of claim1, wherein the second audio signal comprises computer generated speech.12. The system of claim 1, the audio generation component configured to:provide the user with an option to enter the user input audibly;responsive to the user entering the user input audibly, identifyacoustic features that are indicative of a human voice; and responsiveto the acoustic features indicating that the user input was spoken bythe human voice, verify the user access to the content or the service.13. The system of claim 1, the audio generation component configured to:provide the user an option to enter the user input audibly; responsiveto the user entering the user input audibly, identify acoustic featuresthat are indicative of a human voice; and responsive to the acousticfeatures indicating the user input was not spoken by a human voice, denythe user access to the content or the service.
 14. A method of audioverification comprising: identifying an audio signal comprising a codefor user verification; creating a second audio signal based upon one ormore audio segments; identifying a speaking rate and an amplitude of theaudio signal at a first time; identifying a second speaking rate and asecond amplitude of the second audio signal at a second time; alteringthe speaking rate of the audio signal and the second speaking rate ofthe second audio signal by altering the speaking rate be more similar tothe second speaking rate at the second time and altering the secondspeaking rate to be more similar to the speaking rate at the first time;altering the amplitude of the audio signal and the second amplitude ofthe second audio signal by altering the amplitude be more similar to thesecond amplitude at the second time and altering the second amplitude tobe more similar to the amplitude at the first time; combining the audiosignal and the second audio signal to generate a verification audiosignal in response to: determining that a bot is unable to discern adifference between the speaking rate of the audio signal and the secondspeaking rate of the second audio signal when the audio signal and thesecond audio signal are combined; and determining that a bot is unableto discern a difference between the amplitude of the audio signal andthe second amplitude of the second audio signal when the audio signaland the second audio signal are combined; presenting the verificationaudio signal to a user for the user verification, the user verificationcomprising verifying that the user is human; and verifying whether theuser has access to content or a service based upon user input, obtainedin response to the verification audio signal, matching the code withinthe verification audio signal.
 15. The method of claim 14, comprising:identifying a pitch of the audio signal; identifying a second pitch ofthe second audio signal; and altering at least one of the pitch of theaudio signal or the second pitch of the second audio signal until thepitch and the second pitch are within a threshold pitch similarity. 16.The method of claim 14, comprising: identifying a volume of the audiosignal; identifying a second volume of the second audio signal; andaltering at least one of the volume of the audio signal or the secondvolume of the second audio signal until the volume and the second volumeare within a threshold volume similarity.
 17. The method of claim 14,comprising: creating the second audio signal utilizing a first audiosegment and a second audio segment.
 18. The method of claim 17,comprising at least one of: extracting at least one of the first audiosegment or the second audio segment from an audio content database; orgenerating at least one of the first audio segment or the second audiosegment utilizing a random speech generator.
 19. A system of audioverification comprising: a processor; and memory comprisingprocessor-executable instructions that when executed by the processorcause implementation of an audio generation component configured to:identify an audio signal comprising a code for user verification; createa second audio signal based upon one or more audio segments; identify atleast two of a pitch, an amplitude, a volume or a speaking rate of theaudio signal; identify at least two of a second pitch, a secondamplitude, a second volume or a second speaking rate of the second audiosignal; at least two of: alter at least one of the pitch of the audiosignal or the second pitch of the second audio signal; alter at leastone of the volume of the audio signal or the second volume of the secondaudio signal; alter at least one of the amplitude of the audio signal orthe second amplitude of the second audio signal; or alter at least oneof the speaking rate of the audio signal or the second speaking rate ofthe second audio signal; combine the audio signal and the second audiosignal to generate a verification audio signal in response to at leasttwo of: determining that a bot is unable to discern a difference betweenthe pitch of the audio signal and the second pitch of the second audiosignal when the audio signal and the second audio signal are combined;determining that a bot is unable to discern a difference between thevolume of the audio signal and the second volume of the second audiosignal when the audio signal and the second audio signal are combined;determining that a bot is unable to discern a difference between theamplitude of the audio signal and the second amplitude of the secondaudio signal when the audio signal and the second audio signal arecombined; or determining that a bot is unable to discern a differencebetween the speaking rate of the audio signal and the second speakingrate of the second audio signal when the audio signal and the secondaudio signal are combined; present the verification audio signal to auser for the user verification, the user verification comprisingverifying that the user is human; and verify whether the user has accessto content or a service based upon user input, obtained in response tothe verification audio signal, matching the code within the verificationaudio signal.
 20. The system of claim 19, the one or more audio segmentsextracted in real-time from an on-going audio stream corresponding to atleast one of a news show, a radio show or a talk show.